Evidence map›Paper›PMID 40455789›Full record

ArticlePloS one2025

Prolonged preoperative wait time associated with elevated postoperative thirty-day mortality following intracranial tumor craniotomy in adult patients: A retrospective cohort study.

Zhichao Gao, Yuhang Zhang, Jiaqing Guan, Weifeng Dong, Cheng Huang

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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhichao GaoDepartment of Neurosurgery, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0009-0003-9138-7609
Yuhang ZhangDepartment of Orthopedics, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang, China.
Jiaqing GuanDepartment of Neurosurgery, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang, China.
Weifeng DongDepartment of Neurosurgery, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang, China.
Cheng HuangDepartmentof Coloproctology, The First People's Hospital of Xiaoshan District, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-9058-7970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePrior studies have established preoperative wait time as a potential risk factor for postoperative outcomes across various clinical conditions. However, associations between wait time and short-term prognosis following intracranial tumor surgery are still largely unknown. Our study sought to investigate associations between preoperative wait time and postoperative thirty-day mortality following intracranial tumor craniotomy in adult patients.

methodsThis retrospective cohort study utilized data extracted from the ACS NSQIP database, comprising 18,298 adult patients who underwent intracranial tumor craniotomy between 2012 and 2015. The primary exposure and outcome were preoperative wait time and postoperative thirty-day mortality, respectively. Smooth curve fitting evaluated the linear or nonlinear association between them. The effects of exposure on outcome were evaluated using multivariate Cox proportional hazard regression models and Kaplan-Meier curves. Subgroup analyses and interaction testing were conducted to evaluate the effect modification of confounding factors. The robustness of the main results was assessed through propensity score matching and sensitivity analyses.

resultsProlonged preoperative wait time was independently and linearly related to elevated thirty-day mortality (HR = 1.075, 95%CI: 1.040-1.110). The ventilator-dependent status significantly modify the relationship between wait time and mortality. The linear wait time-mortality association was observed solely in non-ventilator-dependent patients, showing an 8.3% increase in thirty-day mortality risk for each additional day of waiting (HR = 1.083, 95%CI: 1.049-1.119). Patients who waited ≥1 day had a 0.74% higher absolute risk and a 31.3% higher relative risk of thirty-day mortality compared to those who waited <1 day. The sensitivity analyses corroborated the robustness of these results.

conclusionsProlonged preoperative wait time has an independent linear association with elevated postoperative thirty-day mortality in non-ventilator-dependent adult patients undergoing intracranial tumor craniotomy. Clinicians should minimize preoperative wait time to mitigate the risk of thirty-day mortality. Nonetheless, further research is warranted to validate the results and establish causality.

Indexed as

Brain NeoplasmsCraniotomyAdultAgedFemaleHumansMaleMiddle AgedPostoperative PeriodPreoperative PeriodPrognosisRetrospective StudiesRisk FactorsTime Factors

Identifiers

PMID40455789
PMCPMC12129183

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.